As a member of one scientific family, Arnau Oliver mostly works in the field of Pectoral muscle, focusing on Anatomy and, on occasion, Atlas (anatomy). His Atlas (anatomy) study often links to related topics such as Anatomy. His studies link Data set with Artificial intelligence. His study on Pattern recognition (psychology) is mostly dedicated to connecting different topics, such as Artificial intelligence. His study on Segmentation is mostly dedicated to connecting different topics, such as Image segmentation. He frequently studies issues relating to Segmentation and Image segmentation. His Computer vision study typically links adjacent topics like Brain atlas. His study deals with a combination of Brain atlas and Magnetic resonance imaging. Arnau Oliver performs integrative study on Magnetic resonance imaging and Voxel.
His Voxel research extends to Artificial intelligence, which is thematically connected. His research combines Image segmentation and Segmentation. He merges Image segmentation with Computer vision in his study. His work in Computer vision is not limited to one particular discipline; it also encompasses Segmentation. His study on Internal medicine is mostly dedicated to connecting different topics, such as Breast cancer. His Breast cancer study frequently draws connections between adjacent fields such as Breast tissue. As part of his studies on Breast tissue, he often connects relevant areas like Cancer. His Cancer study frequently links to related topics such as Breast density. Many of his studies on Breast density involve topics that are commonly interrelated, such as Internal medicine.
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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer.
arXiv: Computer Vision and Pattern Recognition (2018)
A review of atlas-based segmentation for magnetic resonance brain images
Mariano Cabezas;Arnau Oliver;Xavier Lladó;Jordi Freixenet.
Computer Methods and Programs in Biomedicine (2011)
A review of automatic mass detection and segmentation in mammographic images.
Arnau Oliver;Jordi Freixenet;Joan Martí;Elsa Pérez.
Medical Image Analysis (2010)
A Novel Breast Tissue Density Classification Methodology
A. Oliver;J. Freixenet;R. Marti;J. Pont.
international conference of the ieee engineering in medicine and biology society (2008)
Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches
Xavier Lladó;Arnau Oliver;Mariano Cabezas;Jordi Freixenet.
Information Sciences (2012)
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach.
Sergi Valverde;Mariano Cabezas;Eloy Roura;Sandra González-Villà.
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review.
Jose Bernal;Kaisar Kushibar;Daniel S. Asfaw;Sergi Valverde.
Artificial Intelligence in Medicine (2019)
A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images
Soumya Ghose;Arnau Oliver;Robert Martí;Xavier Lladó.
Computer Methods and Programs in Biomedicine (2012)
Breast segmentation with pectoral muscle suppression on digital mammograms
David Raba;Arnau Oliver;Joan Martí;Marta Peracaula.
iberian conference on pattern recognition and image analysis (2005)
False positive reduction in mammographic mass detection using local binary patterns
Arnau Oliver;Xavier Lladó;Jordi Freixenet;Joan Martí.
medical image computing and computer assisted intervention (2007)
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